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Dr. Amit Kumar Srivastava
Dr. Amit Kumar Srivastava
Institute of Crop Science and Resource Conservation, University of Bonn
Verified email at uni-bonn.de - Homepage
Title
Cited by
Cited by
Year
Climate Impacts in Europe
JC Ciscar, L Feyen, A Soria, C Lavalle, F Raes, M Perry, F Nemry, ...
1572014
How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield?
Durand, Jean-Louis., A.K Srivastava, et.al.
European Journal of Agronomy, 2017
111*2017
Using satellite data to identify the causes of and potential solutions for yield gaps in India’s Wheat Belt
M Jain, B Singh, AAK Srivastava, RK Malik, AJ McDonald, DB Lobell
Environmental Research Letters 12 (9), 094011, 2017
1062017
Simulation of Maize Evapotranspiration: An Inter-comparison among 29 Maize Models.
Kimball, B., Srivastava, A.K., et al.
Agricultural and Forest Meteorology 271, 264-284, 2019
862019
Modelling climate change impacts on maize yields under low nitrogen input conditions in sub‐Saharan Africa
GN Falconnier, M Corbeels, KJ Boote, F Affholder, M Adam, ...
Global change biology 26 (10), 5942-5964, 2020
842020
Climate change impact and potential adaptation strategies under alternate realizations of climate scenarios for major crops in Europe
Donatelli, M., Srivastava, A.K., Duvellier, G., Niemeyer, S., Fumagalli, D.
Environmental Research Letters, 2015
80*2015
The impact of climate change on Yam (Dioscorea alata) yield in the savanna zone of West Africa
AK Srivastava, T Gaiser, H Paeth, F Ewert
Agriculture, ecosystems & environment 153, 57-64, 2012
792012
Climate change impact under alternate realizations of climate scenarios on maize yield and biomass in Ghana
AK Srivastava, CM Mboh, G Zhao, T Gaiser, F Ewert
Agricultural Systems, 2017
682017
Winter Wheat Yield Prediction Using Convolutional Neural Networks from Environmental and Phenological Data
AK Srivastava, N Safaei, S Khaki, G Lopez, W Zeng, F Ewert, T Gaiser, ...
Scientific Reports 12, 2022
672022
To bias correct or not to bias correct? An agricultural impact modelers’ perspective on regional climate model data
P Laux, RP Rötter, H Webber, D Dieng, J Rahimi, J Wei, B Faye, ...
Agricultural and Forest Meteorology 304, 108406, 2021
602021
The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise
D Wallach, T Palosuo, P Thorburn, Z Hochman, E Gourdain, ...
Environmental Modelling & Software 145, 105206, 2021
472021
Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models
F Tao, T Palosuo, RP Rötter, CGH Díaz-Ambrona, MI Mínguez, ...
Agricultural and Forest Meteorology 281, 107851, 2020
452020
How does inter-annual variability of attainable yield affect the magnitude of yield gaps for wheat and maize? An analysis at ten sites
MP Hoffmann, M Haakana, S Asseng, JG Höhn, T Palosuo, ...
Agricultural Systems 159, 199-208, 2018
452018
Simulating water and salt transport in subsurface pipe drainage systems with HYDRUS-2D
Y Liu, C Ao, W Zeng, AK Srivastava, T Gaiser, J Wu, J Huang
Journal of Hydrology 592, 125823, 2021
422021
Effect of sowing date distributions on simulation of maize yields at regional scale – A case study in Central Ghana, West Africa
Srivastava, A.K., Mboh, C.M., Gaiser, T., Webber, H., Ewert, F.
Agricultural Systems 147, 10-23., 2016
412016
Assessing agriculture vulnerabilities for the design of effective measures for adaption to climate change (AVEMAC project)
M Donatelli, G Duveiller, D Fumagalli, A Srivastava, A Zucchini, V Angileri, ...
European Commission, Joint Research Centre, EUR 25249, 2012
40*2012
Enhancing short-term forecasting of daily precipitation using numerical weather prediction bias correcting with XGBoost in different regions of China
J Dong, W Zeng, L Wu, J Huang, T Gaiser, AK Srivastava
Engineering Applications of Artificial Intelligence 117, 105579, 2023
332023
Estimating the pan evaporation in northwest china by coupling catboost with bat algorithm
L Dong, W Zeng, L Wu, G Lei, H Chen, AK Srivastava, T Gaiser
Water 13 (3), 256, 2021
322021
Estimating impact assessment and adaptation strategies under climate change scenarios for crops at EU27 scale
M Donatelli, AK Srivastava, G Duveiller, S Niemeyer
322012
Are soybean models ready for climate change food impact assessments?
K Kothari, R Battisti, KJ Boote, SV Archontoulis, A Confalone, J Constantin, ...
European Journal of Agronomy 135, 126482, 2022
312022
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